Can technology help achieve sustainable intensification? Evidence from milk recording on Irish dairy farms

This article explores the potential of a farm technology to simultaneously improve farm efficiency and provide wider environmental and social benefits. Identifying these ‘win-win-win’ strategies and encouraging their widespread adoption is critical to achieve sustainable intensification. Using a nationally representative sample of 296 Irish dairy farms from 2015, propensity score matching is applied to measure the impact of milk recording on a broad set of farm sustainability indicators. The findings reveal that the technology enhances economic sustainability by increasing dairy gross margin and milk yield per cow. Furthermore, social sustainability is improved through a reduction in milk bulk tank somatic cell count (an indicator of animal health and welfare status). Conversely, milk recording (as it is currently implemented) does not impact farm environmental sustainability, represented by greenhouse gas emission efficiency. While the study shows that milk recording is a ‘win-win’ strategy, ways of improving current levels of utilisation are discussed so that milk recording achieves its ‘win-win-win’ potential in the future.     

Agricultural sustainability assessment at provincial level in Pakistan

Agriculture sector of Pakistan has traditionally followed an unsustainable path due to degradation of agricultural resources. Therefore, this study was carried out to find environmental, economic and social sustainability of agriculture in Punjab, Sindh, KPK and Balochistan provinces of Pakistan. Based mainly on secondary data, covering the period of 2005/06–2012/13, each dimension of sustainability was analyzed using selected indicators. Crop diversification, soil salinity, and the use of organic and inorganic fertilizers and pesticides were the indicators considered for environmental sustainability analysis. For economic sustainability analysis, change in overall crop production and stability of crop production were the indicators used. Employment of rural labor force and food security were indicators used for social sustainability analysis. The findings from the analyses revealed a tendency towards unsustainable agricultural production in all provinces. This was caused by overuse of inorganic fertilizer, pesticides and groundwater for irrigation in Sindh and Punjab. The lack of sustainable agricultural production in KPK and Balochistan was due to limited use of fertilizer and pesticides in some areas and altogether no use in other areas. Use of groundwater for irrigation in the coastal areas of Balochistan further reinforced agricultural unsustainability. Thus, it was deduced from the findings of this research that there are regional differences in agricultural sustainability in Pakistan. Therefore, it is recommended to formulate effective regional agricultural policies based on local level research and revise agricultural extension structure in order to incorporate need-based services with better dissemination of information and farm level trainings. In addition, broad policy recommendations are made for sustainable agricultural development in each province under the scope of the study.     

The EU societal awareness of landscape indicator: A review of its meaning,utility and performance across different scales

There is increasing recognition that agricultural landscapes meet multiple societal needs and demands beyond provision of economic and environmental goods and services. Accordingly, there have been significant calls for the inclusion of societal, amenity and cultural values in agri-environmental landscape indicators to assist policy makers in monitoring the wider impacts of land-based policies. However, capturing the amenity and cultural values that rural agrarian areas provide, by use of such indicators, presents significant challenges. The EU social awareness of landscape indicator represents a new class of generalized social indicator using a top–down methodology to capture the social dimensions of landscape without reference to the specific structural and cultural characteristics of individual landscapes. This paper reviews this indicator in the context of existing agri-environmental indicators and their differing design concepts. Using a stakeholder consultation approach in five case study regions, the potential and limitations of the indicator are evaluated, with a particular focus on its perceived meaning, utility and performance in the context of different user groups and at different geographical scales. This analysis supplements previous EU-wide assessments, through regional scale assessment of the limitations and potentialities of the indicator and the need for further data collection. The evaluation finds that the perceived meaning of the indicator does not vary with scale, but in common with all mapped indicators, the usefulness of the indicator, to different user groups, does change with scale of presentation. This indicator is viewed as most useful when presented at the scale of governance at which end users operate. The relevance of the different sub-components of the indicator are also found to vary across regions.     

Multi-year assessment of Unilever's progress towards agricultural sustainability II: outcomes for peas (UK), spinach (Germany,Italy), tomatoes (Australia,Brazil, Greece,USA), tea (Kenya,Tanzania, India) and oil palm (Ghana)

The foods, home and personal care company, Unilever, is a large user of raw materials from agriculture, and a major buyer of goods on world markets. The continued supply of these materials is seen as an important component in the business's long-term success. The company has a long history of seeking to farm responsibly on company farms and for directly contracted raw materials, but it became clear that an approach based solely on suppliers' good agricultural practice would not safeguard supplies where increasing social and environmental pressures on agriculture were growing, or where increasing consumer concerns about the food chain could undermine markets and brands. Both threats suggested the need for a more radical approach. This resulted in the development of a mission statement, the agreement of four principles for sustainable agriculture, the identification of ten sustainable agriculture indicators (later 11), and the selection of five key crops the sustainable supply of which was significant to the company.

This paper summarizes progress towards the sustainable supply of these crops by reporting on selected sustainability indicators for the crops (peas, spinach, tomatoes, tea and oil palm) in 11 countries. Some of the businesses using these products have been subsequently sold, but these are reported here because the aim is to explore how responsive are different indicators of sustainability to management action in different crops in widely differing locations. This paper focuses on a selection of findings for each of the 10 indicators, in order to illustrate the extent of changes that have been observed over time. These also indicate some of the difficulties faced in making improvements on the ground. The gathering of data on sustainability indicators is closely tied to the development of alternative practices that should quickly deliver improvements in a variety of outcomes. An assessment is also made of the key changes that have occurred for each of the main five crops as a result of adopting the sustainability indicator system and associated new management practices.

Multi-year assessments were conceived as the way to understand and demonstrate progress towards more sustainable agriculture. The important developments were of systems that combined ensuring that agricultural suppliers performed to an acceptable set of criteria, and then had the capacity and willingness to identify the most critical areas where further progress was required. The challenge for the company is now to encourage others to adopt their approach to making supply chains more sustainable, both for their customers and the consumers of their branded goods.     

An assessment of the impact of watershed programmes on agricultural sustainability in Hamedan province,Iran

This paper assessed the effects of watershed programmes (WPs) on the sustainability of agro-ecosystems in Hamedan province, western Iran. This research was a causal–comparative study, and various techniques were used to collect data, such as survey data, archival data, observations, and face-to-face interviews with key informants. The causal–comparative method requires a comparison of agro-ecosystems with and without WPs. Therefore, a survey was conducted using a stratified random sampling to select 136 households in agro-ecosystems with and without WPs. Nine indicators were selected to evaluate sustainability. Significant differences were found between the two agro-ecosystems in biodiversity, soil quality management, hydrological processes, energy-use efficiency (EUE), access to public services, farm management practices, and social capital. No significant variation was found in the indicator of quality of life, even though that indicator was found to be slightly higher in the agro-ecosystem that had WPs. Results revealed that the agro-ecosystem with WPs, with the exception of the social capital, productivity, biodiversity, soil quality, EUE, farm management, and hydrological processes as well as access to public services had significantly higher values than the agro-ecosystem without WPs. Therefore, it can be concluded that despite WPs' positive impact on biodiversity, soil quality, hydrological processes, EUE, farm management, productivity, and access to public services, it had a negative impact on social capital. The findings suggest that WPs affected the agro-ecosystem by increasing the stability and economic viability of the agro-ecosystem and decreasing social dimensions. A new approach, including demand-driven WPs rather than supply-driven ones to cater to the specific needs of local people, was recommended for the promotion of the social acceptability of WPs.     

CAP MTR versus environmentally targeted agricultural policy in marginal arable areas: impact analysis combining simulation and survey data

On June 2003 the final version of the Common Agricultural Policy Mid‐Term Review (CAP MTR) was published. The driving forces of this policy change include inter alia the compliance with World Trade Organization (WTO) negotiations' requirements, improvement of social support for agricultural policy, adjustment to budget constraints and adaptation of agricultural practices to environmental requirements. This article reviews how this policy performs in marginal areas regarding one of those objectives: the provision of environmental outputs related to agricultural activity. As an alternative to this reform, a policy based on agri‐environmental measures designed to maximize environmental outputs, is proposed. Both options are evaluated from a cost‐effectiveness point of view. Data from a farm survey and a positive mathematical programming model for a cereal steppes agro‐system in Spain are combined in order to simulate the effects of this reform and our alternative instrument on several environmental indicators. Results show that in marginal areas, where land abandonment is a clear threat, more environmental output can be achieved for the same cost, while maintaining, if not increasing, the levels of achievement for the other goals.     

Sense and sustainability revisited: the limits of total factor productivity measures of sustainable agricultural systems

Many economists have advocated and applied total social factor productivity (TSFP) (i.e., total factor productivity estimated with both market and non‐market inputs and externalities, and with all factors valued at social prices) as a single all‐embracing measure of agricultural sustainability. This paper reviews the conceptual and practical issues in measuring TSFP and shows that no one measure alone will be theoretically or empirically robust as an indicator of sustainability. TSFP is a conceptually flawed measure since inclusion of non‐market inputs and outputs and social price‐based valuation, in most cases, violates the theoretical basis underlying those estimates. Trends in TSFP also have limited value in diagnosing the nature of sustainability problems, unless changes in productivity are related to underlying changes in technology, human and physical infrastructure, and indicators of resource quality. More attention needs to be given to defining key indicators of agro‐ecosystem health and relating these measures to trends in productivity. This analysis must be sufficiently disaggregated and for a long enough time period to allow for spatial and temporal variability inherent in agricultural production. Secondary data at the district level on both conventional inputs and outputs and resource quality have recently allowed more quantitative estimates of sustainability and its causes. With limited data, yield growth decomposition analysis can often be used to provide valuable insights into sustainability problems. Meanwhile, there is a need to invest in long‐term experimental and panel surveys of farmers and their fields for key production systems in order to provide long‐term data that will allow full productivity accounting, using more formal statistical procedures. Regardless of the approach selected, the findings of this paper strongly suggest a need for economists, agronomists and soil scientists to collaborate in integrating approaches in order to provide more robust and informative measures of sustainability.     

Assessing the sustainability of Irish agriculture

Indicators encompassing the multidimensional nature of sustainability (economic, environmental and social) are developed here using Irish National Farm Survey data over an 11-year period (1996–2006). This is the first such study undertaken for Ireland, and the results show significant change over the decade in all three areas examined. The general concept of sustainability is discussed and the development of agricultural sustainability indicators in an Irish context is described. Individual indicators are dealt with in turn, and the RERC SMILE model is used to demonstrate how these indicators can be derived at a spatial level below the national scale. Economic viability was found to be generally in decline over the 10-year period examined. However, when individual farming systems were taken into account, some were found to perform better than others. From an environmental perspective, the more intensive farming systems (primarily dairy) were found to pollute more on average, while in more general terms the levels of methane emissions produced per hectare have been falling over the reference period. Results also indicate that rural Ireland is experiencing a period of fundamental change in terms of the demographic viability of its farming community.     

Assessing a farm's sustainability: insights from resilience thinking

Research on sustainability in agriculture often focuses on reducing the environmental impacts of production systems. However, environmentally friendly production methods may not be sufficient to ensure the long-term economic and social sustainability of a farm. Taking a systems approach to sustainable farming, we turn to resilience thinking with its focus on the interdependence of social and ecological systems. We apply this approach to farming by conceptualizing a farm as being part of a set of systems spanning several spatial scales and including agro-ecological, economic and political-social domains. These subsystems interact and are subjected to their own complex dynamics. Within such a complex adaptive system, farm sustainability can only be achieved through adaptability and change. To be ready for the inevitable periods of turbulent change, a farmer needs to retain diversity and redundancy to ensure adaptability. Resilience is thus more likely to emerge when farmers hone the capacity to transform the farm, when farm production is attuned to the local ecological carrying capacity, and when learning and innovation are targeted outcomes. This article shows how resilience theory applied to farming may provide a more comprehensive route to achieving sustainability and offers rules of thumb as guides to building farm resilience.     

The Challenge of Sustainability at the Farm Level: Presidential Address

The sustainability of farming systems is currently under debate. There is concern that technological and other changes have long-run consequences, which may compromise future levels of desired outputs from agricultural and other resources. The paper traces developments in the theory of sustainability and discusses their application at the farm level. Findings include firstly, that sustainability should be regarded as an emergent property of an agricultural system. Its operational definition at the farm level thus may not apply at other levels in the hierarchy. Secondly, whilst individual farmers may attach value to “sustainability” goods, they are unlikely to adopt socially optimal levels without regulation or incentive. Finally, since sustainability issues at the farm level are usually long-run, dynamic and have social dimensions, a central task for farm management researchers lies in investigations which allow tradeoffs between different sustainability criteria to be determined and then optimised according to society's norms.     

The impact of marketing systems on soil sustainability of agriculture in developing countries: a method and an application

This article is concerned with soil‐sustainability problems of agriculture in developing countries, in particular with soil erosion. The aim of our study is to develop a comprehensive model that explains the adoption of sustainable agricultural practices with respect to soil conservation. Our approach includes the following special features: (a) the model is comprehensive in that it includes a large number of institutional, personal–social, economic, and physical explanatory variables; (b) particular attention is paid to the influence of marketing systems on the adoption of sustainable agricultural practices, which to our knowledge has been neglected in past research; (c) the concept of adopting sustainable agricultural practices (ASAP) is differentiated into a limited number of basic components of soil conservation; and (d) the model is estimated by Principal Component Regression, which enhances efficient estimation of the impact of many explanatory variables on ASAP. Our model is applied to Cabuyal hillside farming in Colombia. The application demonstrates the usefulness of the proposed model. ASAP is differentiated into three basic components: soil‐disturbance control, soil‐protection practices, and run‐off control. It appears that soil‐disturbance control is particularly influenced by farmers' characteristics, such as education and managerial variables. The second component, soil‐protection practices, appears to be strongly influenced not only by farmers' managerial variables but also by their relationship with their environment, in particular marketing institutions. The third soil‐conservation component, run‐off control, is influenced by the physical characteristics of the plot and by the available farm labor. Our empirical results demonstrate the usefulness of the proposed model in designing agricultural policies, because it can determine which variables are more likely to influence the adoption of a specific type of soil conservation.     

Assessing the Income Effects of Group Certification for Smallholder Coffee Farmers: Agent‐based Simulation in Uganda

Voluntary sustainability standards, aimed at improving the environmental, social and economic aspects of agricultural production and trade, are becoming increasingly common. The coffee sector is a prime example, where sustainability certification could improve livelihoods for poor smallholders. However, as individual production volumes are low, smallholder farmers need to cooperate in certification as a group, which makes impact assessment more complicated. Previous empirical studies, reporting premia of up to 30%, have neglected the costs associated with group certification. We explore the issue using an agent‐based simulation of coffee producer organisations in Uganda, including the certification‐related costs for farmers. Our results suggest that certification can have a small positive impact on participating households. But the added value of certification is substantially lower than the price premium, because of certification costs. Increasing both the membership of the producer groups and their deliveries of certified coffee are necessary to improve the rewards of certification.     

What Drives Marginal Abatement Costs of Greenhouse Gases on Dairy Farms? A Meta‐modelling Approach

This paper examines the relationships between the marginal abatement costs (MAC) of greenhouse gas (GHG) emissions on dairy farms and factors such as herd size, milk yield and available farm labour, on the one hand, and prices, GHG indicators and GHG reduction levels, on the other. A two‐stage Heckman procedure is used to estimate these relationships from a systematically designed set of simulations with a highly detailed mixed integer bio‐economic farm‐level model. The resulting meta‐models are then used to analyse how MAC vary across farm‐level conditions and GHG measures. We find that simpler GHG indicators lead to significantly higher MAC, and that MAC strongly increase beyond a 1–5% emission reduction, depending on farm attributes and the chosen indicator. MAC decrease rapidly with increasing farm size, but the effect levels off beyond a herd size of 40 cows. As expected, the main factors driving gross margins per dairy cow also significantly influence mitigation costs. Our results indicate high variability of MAC on real life farms. In contrast to time consuming simulations with the complex mixed integer bio‐economic programming model, the meta‐models allow the distribution of MAC in a farm population to be efficiently derived and thus could be used to upscale to regional or sector level.     

The environmental sustainability of national cropping systems: From assessment to policy impact evaluation

The European political framework of the last decade aims to drive agriculture towards economic and environmental sustainability. Thus, European institutions have paid great attention to environmental impact assessment and to the definition of a complex indicator capable of restoring the multidimensional nature of environmental sustainability.In this work, a possible methodology for assessing the environmental sustainability of European national cropping systems by a synthetic indicator is provided. More specifically, the environmental impact of agriculture is assessed through a synthetic indicator, whose definition is based on a methodological improvement of the ecological footprint approach, which quantifies the balance between exploitation and availability of natural resources used in agriculture.The analysis shows how national cropping systems can contribute to Europe’s environmental impact through agriculture. To assess an eventual relationship between agriculture’s environmental performance and the ability to support more sustainable agriculture at the national level, the results are then compared with the subsidies for agro-environmental measures provided by the second pillar of the CAP. In addition, the synthetic indicator chosen for the study, giving the possibility of quantifying the dynamic of the environmental impact of agriculture between two different periods, permits the analysis of the possible causes that may have generated the observed changes.The implications of this approach should stimulate new reflections on the significance of the ecological relationships embodied into agricultural production and the environmental role of farmers.     

寒冷地区设施蔬菜化肥减施增效技术模式社会经济效果综合评价

[目的]设施蔬菜种植过程中化肥的过量投入和利用效率低下,造成了严重的环境问题。解决这些问题的农业技术在推广应用过程中又存在农户响应度低、可持续性差等问题。为了提高农业技术推广水平,保证设施蔬菜种植的可持续性,构建全面系统的技术评价指标体系,在技术推广应用时进行科学评价是十分必要的。[方法]文章运用文献分析法、专家咨询法、专家约束下的主成分赋权法,进行实证分析。[结果]构建了由准则层、指标层和子指标层3个层次共27个子指标的设施蔬菜化肥减施增效技术评价指标体系;计算得到各项指标权重,最终结合指标数据得到5项技术模式综合得分及排序:模式1北票市越夏番茄化肥减施(0.443 2)模式3辽中区冬春茬番茄化肥减施(0.343 8)模式2灯塔市越冬番茄化肥减施(0.050 4)模式4南票区冬春茬番茄化肥减施(-0.412 5)模式5凌源市越冬长季节黄瓜化肥减施(-0.425 0)。[结论]根据评价得分结果分别围绕5项技术模式的技术、经济、社会和管理方面进行分析讨论,据此提出了技术模式推广优先序;针对各项技术的优势与劣势提出了发展设施蔬菜的政策建议,对各项化肥减施增效技术模式的完善与应用推广有重要意义。     

Assessing the Forecasting Performance of a Generic Bio‐Economic Farm Model Calibrated With Two Different PMP Variants

Using linear programming in bio‐economic farm modelling often results in overspecialised model solutions. The positive mathematical programming (PMP) approach guarantees exact calibration to base year data but the forecasting capacity of the model is affected by necessary but arbitrary assumptions imposed during calibration. In this article, a new PMP variant is presented which is based on less arbitrary assumptions that, from a theoretical point of view, are closer to the actual decision making of the farmer. The PMP variant is evaluated according to the predictions of the bio‐economic farm model, developed within the framework for integrated assessment of agricultural systems in Europe (SEAMLESS). The forecasting capacity of the model calibrated with the standard PMP approach and the alternative PMP variant, respectively, is tested in ex‐post experiments for the arable farm types of Flevoland (the Netherlands) and Midi‐Pyrenees (France). The results of the ex‐post experiments, in which we try to simulate farm responses in 2003 using a model calibrated to 1999 data, show that the alternative PMP variant improves the forecasting capacity of the model in all tested cases.     

The Association of Natural,Social and Economic Factors with Bird Species Richness in Rural England

At a global level, increasing emphasis on sustainable development highlights the importance of maintaining and enhancing biodiversity. Within the European Union, agricultural reforms will have a considerable influence on the links between biodiversity, agriculture and rural communities over the next 10–20 years. An understanding of the associations between biodiversity and the rural economy is important for the development of policies to promote environmentally sustainable economic and social well‐being. However, investigations of this type are frequently hindered by the different ways in which data in the natural and social sciences are collected. In this paper, we develop an innovative approach to combine data using a common spatial unit. We illustrate the application of this approach by examining associations between bird species richness, environmental and socio‐economic variables. Our results show how the statistical relationship between biodiversity and environmental factors is strengthened and contextualised by prevailing socio‐economic conditions. This example highlights the additional insights that can be gained from such an integrative approach, especially in terms of the questions it raises about the inter‐relationships between the social, physical and ecological dynamics of rural environments.     

A participatory assessment of agro-ecosystem sustainability in Abesard,Iran

Participatory approaches have emerged in developing countries as an integrated and holistic system approach for assessing the agro-ecosystem sustainability. The aim is to integrate and apply knowledge about natural and social aspects of agro-ecosystems, taking into account their long-term, uncertain and non-linear relationships. The purpose of the study described in this paper was to assess the sustainability of the agro-ecosystem of Abesard in Tehran Province. A participatory landscape/lifescape appraisal (PLLA) method was used within an agro-ecological framework to assess the farmers’ sense of agricultural sustainability based on different categories of sustainability (better-off, average and poor). Results indicated that a majority of farmers think of sustainability solely as an economic issue, followed by sustainability being a combination of ecological and social concerns. Regarding the indicators of sustainability, results revealed that for farmers in the poor group, resilience and stability were critical criteria, whereas for better-off farmers, stability, reliability and resilience were generally important. However, the average group of the farmers was placed between the two groups. Overall, it was concluded that the economic status of households has an influence on the sustainability of their agro-ecosystems and that improvement of their economic situation promotes agricultural sustainability. It could also be concluded that PLLA has the potential to integrate socio-economic (lifescape) and environmental (landscape) dimensions for analysing the sustainability of agro-ecosystems.     

Sustainability dimensions related to agricultural-based development: the experience of 50 years of intensive farming in Almería (Spain)

In the context of the current agri-food market, several factors have made it increasingly difficult to balance the components of sustainability in agricultural-based development. These factors include increasing internationalization, tighter control of distribution and frequent changes in agricultural policies. Indeed, in the framework of European rural policy there has been considerable debate in recent years concerning the role of the agricultural sector and how it should face the following challenges: productivity-competitiveness, environmental protection and socio-economic development. There is, therefore, a growing need for practical analyses that adopt a holistic approach. This paper analyses how this sector in the province of Almería (Spain), based on horticultural family farms, has risen to the above issues over recent decades. This case study provides some insights into the different trade-offs and synergies between sustainability dimensions. In particular, the integration of ecological, social and economic components may prove useful in helping other regions to adapt their agricultural systems, especially where these are characterized by small-scale farming.